AWS Bedrock w/ Credentials Authentication
Last updated
Last updated
AWS Bedrock: A fully managed service that offers access to leading generative AI models (e.g., Anthropic Claude, Amazon Titan) through AWS. .
Cline: A VS Code extension that acts as a coding assistant by integrating with AI models—empowering developers to generate code, debug, and analyze data.
Enterprise Focus: This guide is tailored for organizations with established AWS environments (using IAM roles, AWS SSO, AWS Organizations, etc.) to ensure secure and compliant usage.
Sign in to the AWS Management Console:
Access IAM:
Search for IAM (Identity and Access Management) in the AWS Console.
Either create a new IAM user or use your enterprise’s AWS SSO to assume a dedicated role for Bedrock access.
Attach the Managed Policy:
Attach the AmazonBedrockFullAccess
managed policy to your user/role.
Confirm Additional Permissions:
Ensure your policy includes permissions for model invocation (e.g., bedrock:InvokeModel
and bedrock:InvokeModelWithResponseStream
), model listing, and AWS Marketplace actions (like aws-marketplace:Subscribe
).
Enterprise Tip: Apply least-privilege practices by scoping resource ARNs and using to restrict access where necessary.
Verify Model Access:
In the AWS Bedrock console, confirm that the models your team requires (e.g., Anthropic Claude, Amazon Titan) are marked as “Access granted.”
Subscribe to Third-Party Models:
Navigate to the AWS Bedrock console and locate the model subscription section.
For models from third-party providers (e.g., Anthropic), accept the terms to subscribe.
Enterprise Tip:
Model subscriptions are often managed centrally. Confirm with your cloud team if a standard subscription process is in place.
Install the Cline Extension:
Open VS Code.
Go to the Extensions Marketplace (Ctrl+Shift+X
or Cmd+Shift+X
).
Search for Cline and install it.
Open Cline Settings:
Click on the settings ⚙️ to select your API Provider.
Select AWS Bedrock as the API Provider:
From the API Provider dropdown, choose AWS Bedrock.
Enter Your AWS Credentials:
Input your Access Key and Secret Key (or use temporary credentials if using AWS SSO).
Specify the correct AWS Region (e.g., us-east-1
or your enterprise-approved region).
Select a Model:
Choose an on-demand model (e.g., anthropic.claude-3-5-sonnet-20241022-v2:0).
Save and Test:
Click Done/Save to apply your settings.
Test the integration by sending a simple prompt (e.g., “Generate a Python function to check if a number is prime.”).
Secure Access:
Prefer AWS SSO/federated roles over long-lived IAM credentials.
Enhance Network Security:
Monitor and Log Activity:
Enable AWS CloudTrail to log Bedrock API calls.
Use CloudWatch to monitor metrics like invocation count, latency, and token usage.
Set up alerts for abnormal activity.
Handle Errors and Manage Costs:
Implement exponential backoff for throttling errors.
Regular Audits and Compliance:
Periodically review IAM roles and CloudTrail logs.
Follow internal data privacy and governance policies.
By following these steps, your enterprise team can securely integrate AWS Bedrock with the Cline VS Code extension to accelerate development:
Prepare Your AWS Environment: Create or use a secure IAM role/user, attach the AmazonBedrockFullAccess
policy, and ensure necessary permissions.
Verify Region and Model Access: Confirm that your selected region supports your required models and subscribe via AWS Marketplace if needed.
Configure Cline in VS Code: Install and set up Cline with your AWS credentials and choose an appropriate model.
Implement Security and Monitoring: Use best practices for IAM, network security, monitoring, and cost management.
This guide will be updated as AWS Bedrock and Cline evolve. Always refer to the latest documentation and internal policies for up-to-date practices.
Select a Region: AWS Bedrock is available in multiple regions (e.g., US East, Europe, Asia Pacific). Choose the region that meets your latency and compliance needs.
Note: Some advanced models might require an if not available on-demand.
Install VS Code: Download from the .
Consider setting up to securely connect to Bedrock.
Use AWS Cost Explorer and set billing alerts to track usage.
For further details, consult the and coordinate with your internal cloud team. Happy coding!